2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)最新文献_第3页

Mobile Traffic Prediction Method Based on Spatio-Temporal Characteristics 基于时空特征的移动交通预测方法

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00112

Liang Ni, Jingjing Zhou, Xiaokang Yu

引用次数: 1

Topic Analysis of Internet Public Opinion on Natural Disasters Based on Time Division 基于时间划分的自然灾害网络舆论话题分析

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00009

Kangao Wang, Qizhi Qiu, Mi Wu, Junan Qiu

引用次数: 5

The Microservice Architecture of Airline's Group-CRM Based on UML 基于UML的航空公司集团crm微服务体系结构研究

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00035

Herbert Yang, Xiaorui Dong, Tianshuo Wang, Anshuai Xiao

引用次数: 0

A Review on Sentiment Analysis Model for Chinese Weibo Text 中文微博文本情感分析模型综述

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00105

Dawei Wang, Rayner Alfred

{"title":"A Review on Sentiment Analysis Model for Chinese Weibo Text","authors":"Dawei Wang, Rayner Alfred","doi":"10.1109/AEMCSE50948.2020.00105","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00105","url":null,"abstract":"the technology of sentiment analysis about Chinese Weibo text is a complex and systematic model. In general situation, it includes 3 parts: data washing, word segmentation and feature extraction. Weibo text is an unstructured text and there are many non-standard contents in it. Therefore, it should be thoroughly data washing before feature extraction. Due to emoticon in Weibo text are very useful in sentiment analysis, thus, in data washing, all of Non-Chinese, with \"@\",\"#\" character should be removed except emoticon. In word segmentation, related algorithms can be divided into three categories: based on string matching, based on understand and based on statistics[1]. In feature extraction, the Lexicon-based Model, Machine learning Model and deep learning Model usually was used. Through literature search, the paper found that grammar characteristic in Chinese Weibo text was fully considered and solved by program of Lexicon-based Model, sentiment word, for example, adverb of degree, no word and all kinds of Chinese sentence patterns. But, due to characteristic of poor generalization, the performance of Lexicon-based Model in experiment is not good. Therefore, performance the model should be continued to improve. For traditional machine learning, there are 2 mainly aspects of innovation: Simultaneous classifier (Adoboost+SVM) and Improvement of classical classification algorithm. One worth noted is that the performance of the some improve classifier (SVM, P Naïve Bayes) has not been verified in Chinese Weibo classification. For deep learning, now, the innovation point is mainly focus on Convolution layer and input attention mechanism. For the next step, YuanHejin think should input ensemble learning and attention mechanism should be improve. LuXin argue that the recognition performance about irony sentence with context in Weibo needs to improve. GaoWeiju think that individual sentiment space for each user in EMCNN model should be build.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"62 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123687751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Pointer Meter Recognition Algorithm Based on Deep Learning 基于深度学习的指针仪表识别算法

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00068

Xin Zhang, X. Dang, Qishen Lv, Shungui Liu

{"title":"A Pointer Meter Recognition Algorithm Based on Deep Learning","authors":"Xin Zhang, X. Dang, Qishen Lv, Shungui Liu","doi":"10.1109/AEMCSE50948.2020.00068","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00068","url":null,"abstract":"In order to build an intelligent, unmanned and managed substation, the substation gradually adopts inspection robots instead of manual work. However, during the inspection process, the automatic identification of the pointer type meter always has the problem that the recognition accuracy is not high and is susceptible to illumination changes. In this paper, the problem of pointer instrument identification is studied. The method of instrument detection and localization algorithm, pointer and instrument scale fitting in complex environment is studied systematically. A pointer meter identification algorithm suitable for intelligent substation inspection robot is proposed. Using the positioning function of deep learning, the instrument classification algorithm based on Faster R-CNN is used to classify three types of tables: voltmeter, ammeter and digital table. Image processing of the positioned pointer meter image, such as tilt correction, extraction of scale segments, pointer line segments, line fitting, repairing the default tick marks, etc. is operated to calculate a more accurate pointer reading.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Research on Lightning Point Location of Transmission Line Based on Improved Two-Terminal Traveling Wave Method 基于改进双端行波法的输电线路避雷点定位研究

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00165

Jinhuang Wang, Zheng Huang, Y. Leng

{"title":"Research on Lightning Point Location of Transmission Line Based on Improved Two-Terminal Traveling Wave Method","authors":"Jinhuang Wang, Zheng Huang, Y. Leng","doi":"10.1109/AEMCSE50948.2020.00165","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00165","url":null,"abstract":"In the southern region, lightning strikes occur frequently, causing serious harm to the stable and safe operation of the power grid. In order to strengthen the lightning protection level of the line and save investment, it is necessary to strengthen the insulation of poles, towers, lines and adjacent parts those are frequently struck by lightning, especially in hilly and mountainous areas. In Sichuan, Yunnan and Shenzhen and others regions to install a lot of lightning overvoltage online monitoring device, on this basis, put forward based on the improved double terminal method of travelling wave transmission line lightning positioning technology, used for statistics on a line by lightning tower or adjacent lines of by lightning overvoltage waveform on both ends of the acquisition, to extract the first time, calculate the time difference, and have been identified by lightning tower measured time take difference divided by the average of double tower wave propagation time of adjacent tower by direct lightning and reference tower distance of implementation of lightning orientation. Through the detection of measured data, it has good precision and good application prospect. paragraph.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122008180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on Fuzzy Control of PWM Rectifier Voltage PWM整流器电压模糊控制研究

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/aemcse50948.2020.00174

Bo Wang, Yong Tang

引用次数: 1

Void Free TSV Copper Filling using Single Additive 3-(1-Pyridinio)-1-Propanesulfonate (PPS) 单添加剂3-(1-吡啶)-1-丙磺酸(PPS)填充无空隙TSV铜

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00139

Yuping Le, Fuliang Wang

{"title":"Void Free TSV Copper Filling using Single Additive 3-(1-Pyridinio)-1-Propanesulfonate (PPS)","authors":"Yuping Le, Fuliang Wang","doi":"10.1109/AEMCSE50948.2020.00139","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00139","url":null,"abstract":"This paper presents our investigation of the influence of the single additive 3-(1-pyridinio)-1-propanesulfonate (PPS) on through silicon via (TSV) filling in 3D packaging. The concentration and current density of the accelerator were varied to study the effects thereof on the TSV filling. Under the same current density and plating conditions, PPS was found capable of supporting the deposition of copper ions at the interconnection and of improving the filling process to obtain void-free TSV interconnections. A PPS concentration of 1 g/L is ineffective and could result in \"U\"-shaped (conformal) filling. In contrast, a concentration of 5 g/L PPS, the optimal concentration, can achieve \"V\"-shaped (bottom-up) filling with a filling ratio of 100%, preventing the formation of seams and voids. This result can be understood by considering that the propanesulfonate group (the S part), which is adsorbed onto the surface at the mouth of the TSV, plays an inhibitory role, whereas the pyridinio group (the P part), which is adsorbed onto the surface at the bottom of the TSV, plays the role of an accelerator. Thus, the effect of PPS at the mouth and the bottom of the TSV interconnection is entirely the opposite. In conclusion, the \"V\" (bottom-up) filling model with a PPS concentration of 5 g/L at a current density of 0.2 ASD for 3 h provides a 100% filling ratio without any seams and voids in the interconnection.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127416389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Observer-Based non-Fragile Control for Linear Systems 基于观测器的线性系统非脆弱控制

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00202

Xuesheng Zhang, Wei Zhang

引用次数: 0

Research on Vehicle Identification Method and Vehicle Speed Measurement Method Based on Multi-rotor UAV Equipped with Lidar 基于激光雷达的多旋翼无人机车辆识别方法与车速测量方法研究

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00089

Yawei Hou, Zhenling Zhang, Chao Wang, Shouhu Cheng, Demao Ye

{"title":"Research on Vehicle Identification Method and Vehicle Speed Measurement Method Based on Multi-rotor UAV Equipped with Lidar","authors":"Yawei Hou, Zhenling Zhang, Chao Wang, Shouhu Cheng, Demao Ye","doi":"10.1109/AEMCSE50948.2020.00089","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00089","url":null,"abstract":"At present, vehicle identification and speed measurement are mainly based on fixed measurement platform, which is difficult to meet the needs of emergency sites. In this paper, a multirotor unmanned aerial vehicle (UAV) is equipped with lidar as the measurement platform, and the method of vehicle identification and vehicle speed measurement based on lidar data is studied. Based on the existing vehicle types, a method of vehicle classification based on the characteristics of lidar data is proposed. Then, the characteristic parameters for vehicle identification and the calculation methods are given. Finally, the recognition of vehicle types is realized. On this basis, by studying the relationship between the height, width and length of the existing vehicles, a method of vehicle speed measurement based on lidar data is proposed. Flight test results show that the accuracy of vehicle identification is higher, and the error of vehicle speed measurement meets the national standard of speed meter.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127338253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2